Timothy C. Elston

发表

Modeling the Excess Cell Surface Stored in a Complex Morphology of Bleb-Like Protrusions

Jia Zhao, Xiaofeng Yang, Qi Wang, 2016, PLoS Comput. Biol..

Testing the limits of gradient sensing

Timothy C. Elston, Vinal V. Lakhani, T. Elston, 2017, PLoS Comput. Biol..

Protein Flexibility and the Correlation Ratchet

Charles S. Peskin, Timothy C. Elston, Dwight You, 2000, SIAM J. Appl. Math..

A Novel Stochastic Simulation Approach Enables Exploration of Mechanisms to Regulate Polarization Dynamics

Timothy C. Elston, Samuel A. Ramirez, Michael Pablo, 2020 .

Stochastic Methods for Inferring States of Cell Migration

Richard J Allen, Christopher Welch, Timothy C. Elston, 2018, bioRxiv.

A Whole-Body Model for Glycogen Regulation Reveals a Critical Role for Substrate Cycling in Maintaining Blood Glucose Homeostasis

Ke Xu, Shawn M. Gomez, Timothy C. Elston, 2011, PLoS Comput. Biol..

Principles that govern competition or co-existence in Rho-GTPase driven polarization

Thomas P. Witelski, Timothy C. Elston, Thomas P. Witelski, 2017, bioRxiv.

Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks

David McMillen, Timothy C. Elston, David Adalsteinsson, 2004, BMC Bioinformatics.

Graphics processing units as tools to predict mechanisms of biological signaling pathway regulation

Timothy C. Elston, Patrick C. McCarter, Michal Nagiek, 2013 .

Time-Domain Methods for Diffusive Transport in Soft Matter

M. Gregory Forest, Timothy C. Elston, Lingxing Yao, 2009, SIAM J. Appl. Math..

Dynein Stepping Flexibility as a Mechanism for Optimal Trafficking in the Cell

Denis Tsygankov, Timothy C. Elston, 2009 .

Dose-to-Duration Encoding and Signaling beyond Saturation in Intracellular Signaling Networks

Nan Hao, Timothy C. Elston, Henrik G. Dohlman, 2008, PLoS Comput. Biol..

The Role of Protein Flexibility in Molecular Motor Function: Coupled Diffusion in a Tilted Periodic Potential

Charles S. Peskin, Timothy C. Elston, T. Elston, 2000, SIAM J. Appl. Math..

Particle-based simulations of polarity establishment reveal stochastic promotion of Turing pattern formation

Timothy C. Elston, Samuel A. Ramirez, Michael Pablo, 2018, PLoS Comput. Biol..

Deep learning enables structured illumination microscopy with low light levels and enhanced speed

Fenqiang Zhao, Bowei Dong, Timothy C. Elston, 2019, Nature Communications.

Compression and dilation of the membrane-cortex layer generates rapid changes in cell shape

Maryna Kapustina, Timothy C. Elston, Ken Jacobson, 2013, The Journal of cell biology.

Tracking Shallow Chemical Gradients by Actin-Driven Wandering of the Polarization Site

Timothy C. Elston, Daniel J. Lew, T. Elston, 2013, Current Biology.

Mathematical and Computational Methods for Studying Energy Transduction in Protein Motors

Timothy C. Elston, Hongyun Wang, T. Elston, 2007 .

Computational and Modeling Strategies for Cell Motility

Xiaofeng Yang, M. Gregory Forest, Maryna Kapustina, 2012 .

RGS Proteins and Septins Cooperate to Promote Chemotropism by Regulating Polar Cap Mobility

Timothy C. Elston, Henrik G. Dohlman, T. Elston, 2015, Current Biology.

Combined computational and experimental analysis reveals mitogen-activated protein kinase–mediated feedback phosphorylation as a mechanism for signaling specificity

Necmettin Yildirim, Timothy C. Elston, Henrik G. Dohlman, 2012, Molecular biology of the cell.

Negative Feedback Enhances Robustness in the Yeast Polarity Establishment Circuit

Timothy C. Elston, Daniel J. Lew, T. Elston, 2012, Cell.

Reciprocal Encoding of Signal Intensity and Duration in a Glucose-Sensing Circuit

Timothy C. Elston, Alan M. Jones, T. Elston, 2014, Cell.

Yeast Dynamically Modify Their Environment to Achieve Better Mating Efficiency

Jeff Hasty, Timothy C. Elston, Henrik G. Dohlman, 2011, Science Signaling.

Complementary Roles for Toxicologic Pathology and Mathematics in Toxicogenomics, With Special Reference to Data Interpretation and Oscillatory Dynamics

Timothy C. Elston, Kevin T. Morgan, Gary Boorman, 2004, Toxicologic pathology.

Molecular Motors: Theory

George Oster, Timothy C. Elston, Alex Mogilner, 2002 .

Deep learning enables structured illumination microscopy with low light levels and enhanced speed

Fenqiang Zhao, Bowei Dong, Timothy C. Elston, 2020, Nature Communications.

A Systems-Biology Analysis of Feedback Inhibition in the Sho1 Osmotic-Stress-Response Pathway

Christoph H. Borchers, Timothy C. Elston, Henrik G. Dohlman, 2007, Current Biology.